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Found 7 papers, 0 papers with code
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning for Digital Twins
Digital twin (DT) platforms are increasingly regarded as a promising technology for controlling, optimizing, and monitoring complex engineering systems such as next-generation wireless networks.
Over-The-Air Federated Learning Over Scalable Cell-free Massive MIMO
Cell-free massive MIMO is emerging as a promising technology for future wireless communication systems, which is expected to offer uniform coverage and high spectral efficiency compared to classical cellular systems.
CSI-fingerprinting Indoor Localization via Attention-Augmented Residual Convolutional Neural Network
On the other hand, considering the generality of a tracking system, we decouple the tracking system from the CSI environments so that one tracking system for all environments becomes possible.
Over-The-Air Federated Learning under Byzantine Attacks
One of the main challenges of FL is the communication overhead, where the model updates of the participating clients are sent to the central server at each global training round.
Robust Federated Learning via Over-The-Air Computation
This paper investigates the robustness of over-the-air federated learning to Byzantine attacks.
A Precise Performance Analysis of Support Vector Regression
In this paper, we study the hard and soft support vector regression techniques applied to a set of $n$ linear measurements of the form $y_i=\boldsymbol{\beta}_\star^{T}{\bf x}_i +n_i$ where $\boldsymbol{\beta}_\star$ is an unknown vector, $\left\{{\bf x}_i\right\}_{i=1}^n$ are the feature vectors and $\left\{{n}_i\right\}_{i=1}^n$ model the noise.
High-Dimensional Quadratic Discriminant Analysis under Spiked Covariance Model
Quadratic discriminant analysis (QDA) is a widely used classification technique that generalizes the linear discriminant analysis (LDA) classifier to the case of distinct covariance matrices among classes.
